anthropic
Anthropic: Claude Sonnet 5
anthropic/claude-sonnet-5
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
Specifications
- Model ID
- anthropic/claude-sonnet-5
- Canonical ID
- anthropic/claude-sonnet-5-20260630
- Creator
- anthropic
- Added to OpenRouter
- 30.06.2026
- Context length
- 1,000,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2 / out $10
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default high · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | AA — next 20% of the cohort | — |
| Agents | AA — next 20% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default high · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 71.5 | AA — next 20% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 43.6 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · agenticgamedevwin rate 51.6% · rank 8 | 1,170Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 53.6% · rank 12 | 1,212Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 32.3% · rank 21 | 997Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 42.9% · rank 17 | 1,109Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 53.2% · rank 11 | 1,228Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · godotgamedevwin rate 54% · rank 13 | 1,205Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · htmlslideswin rate 53.7% · rank 9 | 1,113Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 50.2% · rank 19 | 1,204Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 53.8% · rank 13 | 1,205Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · python-pptxslideswin rate 49.3% · rank 15 | 1,172Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 55% · rank 12 | 1,193Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 52.2% · rank 15 | 1,224Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 52.9% · rank 35 | 1,240Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 50.9% · rank 27 | 1,200Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 52.5% · rank 27 | 1,268Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 52.6% · rank 36 | 1,247Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 51.4% · rank 24 | 1,272Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 49.2% · rank 34 | 1,186Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 53.6% · rank 34 | 1,269Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 52.5% · rank 29 | 1,269Elo | AA — next 20% of the cohort | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Claude Platform on AWS | 1,000,000 | $2 | $10 | — | — | 73.33% |
| Azure | 1,000,000 | $2 | $10 | — | — | 0% |
| 1,000,000 | $2 | $10 | — | — | 100% | |
| Amazon Bedrock | 1,000,000 | $2 | $10 | — | — | 100% |
| Anthropic | 1,000,000 | $2 | $10 | — | — | 73.33% |
| Amazon Bedrock | 1,000,000 | $2.2 | $11 | — | — | 100% |
| Azure | 1,000,000 | $2.2 | $11 | — | — | — |
| 1,000,000 | $2.2 | $11 | — | — | — | |
| 1,000,000 | $2.2 | $11 | — | — | 100% | |
| Amazon Bedrock | 1,000,000 | $2.2 | $11 | — | — | — |
Provider data retrieved: 13.11.2026